Papers
1
Total Citations
21
H-Index
1
About
Yiduo Yu is a rising scholar at the intersection of service robotics, consumer psychology, and gender studies. Their research investigates how anthropomorphic design—particularly the assignment of gender characteristics to service robots—shapes customer attitudes and adoption behaviors. Yu’s most-cited work, “The effect of service robot occupational gender stereotypes on customers' willingness to use them” (2022, 21 citations), demonstrates that customers transfer occupational gender stereotypes to robots, significantly influencing their willingness to engage with robotic service agents. This pioneering study bridges social role theory with human-robot interaction, revealing that the effectiveness of gendered robot design is contingent on the service context. By challenging the assumption that simple gender cues universally improve robot acceptance, Yu’s work provides critical guidance for hospitality managers and robot designers seeking to optimize user experience. Their research has been presented at leading conferences and is gaining traction among scholars studying AI ethics and inclusive design. As the hospitality industry rapidly adopts service robots, Yu’s insights offer a timely, evidence-based framework for creating more effective and socially aware robotic assistants.
Research Focus
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Top Papers
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